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alexanderkuesel's Projects

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

drl-zh icon drl-zh

Deep Reinforcement Learning: Zero to Hero!

gitignore icon gitignore

A collection of useful .gitignore templates

l1b3rt45 icon l1b3rt45

JAILBREAK PROMPTS FOR ALL MAJOR AI MODELS

llama-recipes icon llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

megadetector icon megadetector

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

micrograd icon micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

phi-3cookbook icon phi-3cookbook

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

torchtune icon torchtune

A Native-PyTorch Library for LLM Fine-tuning

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